Computational Model Library

Displaying 10 of 1037 results for "Elena A. Pearce" clear search

We use an agent-based 3D model to reveal the behavioral dynamics of real-world cases. The target of the simulation is the Peshawar massacre. The previous 2-D model has three main problems which can be solved by our 3-D model. Under the key action rules, our model matches the real target case exactly. Based on the optimal solution, we precisely match the results of the real cases, such as the number of deaths and injuries. We also explore the importance of adding height (constructed as a 3D model) to the model.

Deforest

Mohammad Aghajani | Published Saturday, January 20, 2024 | Last modified Saturday, January 20, 2024

Deforest with GIS layers
This model has developed in Netlogo software and utilizes
the GIS extension.

It simulates deforestation with parameters such as the number of animals,
percentage of cut wood ,forest regeneration percentage ,

AMIRIS is the Agent-based Market model for the Investigation of Renewable and Integrated energy Systems.

It is an agent-based simulation of electricity markets and their actors.
AMIRIS enables researches to analyse and evaluate energy policy instruments and their impact on the actors involved in the simulation context.
Different prototypical agents on the electricity market interact with each other, each employing complex decision strategies.
AMIRIS allows to calculate the impact of policy instruments on economic performance of power plant operators and marketers.

Modelling Electricity Consumption in Office Buildings: An Agent Based Approach

Tao Zhang | Published Thursday, May 19, 2011 | Last modified Saturday, April 27, 2013

This is the electronic companion to the paper “Modelling Electricity Consumption in Office Buildings: An Agent Based Approach”

The effect of error on cultural transmission

Claudine Gravel-Miguel | Published Thursday, November 01, 2012 | Last modified Saturday, April 27, 2013

This is the replication of the experiment performed by Eerkens and Lipo (2005) to look at the effect of copying errors when specific traits are transferred from an individual to another.

The Evolution of Cooperation in an Ecological Context

Oyita Udiani | Published Saturday, November 03, 2012 | Last modified Saturday, April 27, 2013

This is a replication of the altruistic trait selection model described in Pepper & Smuts (2000, 2002).

Eixample-MAS Traffic Simulation

Àlex Pardo Fernandez David Sánchez Pinsach | Published Tuesday, January 22, 2013 | Last modified Saturday, April 27, 2013

This MAS simulates the traffic of Barcelona Eixample. Uses a centralized AI system in order to control the traffic lights. Car agents are reactive and have no awareness of the intelligence of the system. They (try to) avoid collisions.

An agent-based model generating social practices

Georg Holtz | Published Tuesday, June 04, 2013 | Last modified Thursday, January 30, 2014

This model expands approaches from social practice theories and is used to investigate the ability of the underlying conceptual model to explain the emergence of social practices, defined as routine behaviour that is similar amoung peers.

Project for the course “Introduction to Agent-Based Modeling”.

The NetLogo model implements an Opinion Dynamics model with different confidence distributions, inspired by the Bounded Confidence model presented by Hegselmann and Krause in 2002. Hegselmann and Krause used a model with uniform distribution of confidence, but one could imagine agents that are more confident in their own opinions than others. Confidence with triangular, semi-circular, and Gaussian distributions are implemented. Moreover, network structure is optional and can be taken into account in the agent’s confidence such that agents assign less confidence the further away from them other agents are.

The purpose of this model is explore how “friend-of-friend” link recommendations, which are commonly used on social networking sites, impact online social network structure. Specifically, this model generates online social networks, by connecting individuals based upon varying proportions of a) connections from the real world and b) link recommendations. Links formed by recommendation mimic mutual connection, or friend-of-friend algorithms. Generated networks can then be analyzed, by the included scripts, to assess the influence that different proportions of link recommendations have on network properties, specifically: clustering, modularity, path length, eccentricity, diameter, and degree distribution.

Displaying 10 of 1037 results for "Elena A. Pearce" clear search

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